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National Talent Supply Data

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Ready to use this data? See the Core LMI reference documentation to get started.

Description

This dataset includes current year job estimates by nation and Emsi global occupations. Jobs are expressed as a low, mid, and high estimate. A list of global occupations can be found here: https://global.economicmodeling.com/emsi-global-occupation-list

Questions answered by this dataset

  • How many mechanical engineers are employed?

  • What is the low estimate for the number of nurses employed for the whole nation?

Metrics

  • Supply.Low: The low employment estimate.

  • Supply.Mid: The mid employment estimate.

  • Supply.High: The high employment estimate.

Filters

  • Area (nation)

  • Occupation (Emsi global occupations)

Core LMI Metadata

This dataset is offered via the Core LMI API. The metadata for this Core LMI API dataset is below.

AttributeDescription
Dataset IDEMSI.ww.GlobalNationalSupply
Dataset URLhttps://agnitio.emsicloud.com/meta/dataset/EMSI.ww.GlobalNationalSupply/{version}
Area Aggregation Path

The area aggregation path refers to the hierarchy that shows how data is aggregated, starting from the lowest-level geography and progressing to the highest-level geography.

The levels in the aggregation path include:

Aggregation Path

1234

Level

1NationMetropolitan USNationMetropolitan US
2StateMSAStateMSA
3CountyCountyCountyCounty
4Zip CodeZip CodeCensus TractCensus Tract

Datasets with lower granularity aggregates only up to Level 1

Versions

2024.1

http://agnitio.emsicloud.com/meta/dataset/EMSI.ww.GlobalNationalSupply/2024.1

Metrics

[
{
  "name": "Supply.Low"
},
{
  "name": "Supply.Mid"
},
{
  "name": "Supply.High"
}
]

Dimensions

[
{
  "name": "Area",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Occupation",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"type": "dataset",
"countryCode": "ww",
"datarun": "2024.1",
"releaseDate": "2024-01-18",
"currentYear": "2023",
"maxYearInclusive": "2025",
"minYearInclusive": "2020",
"displayName": "Global National Talent Supply",
"name": "GlobalNationalSupply",
"path": "GlobalNationalSupply",
"description": "# Description\r\n\r\n\r\n\r\nThis dataset includes current year job estimates by nation and Emsi global occupations. Jobs are expressed as a low, mid, and high estimate. A list of global occupations can be found here: https://global.economicmodeling.com/emsi-global-occupation-list\r\n\r\n\r\n\r\n# Questions answered by this dataset\r\n\r\n\r\n\r\n* How many mechanical engineers are employed?\r\n\r\n* What is the low estimate for the number of nurses employed for the whole nation?\r\n\r\n\r\n\r\n# Metrics\r\n\r\n\r\n\r\n* Supply.Low: The low employment estimate.\r\n\r\n* Supply.Mid: The mid employment estimate.\r\n\r\n* Supply.High: The high employment estimate.\r\n\r\n\r\n\r\n# Filters\r\n\r\n\r\n\r\n* Area (nation)\r\n\r\n* Occupation (Emsi global occupations)\r\n\r\n"
}

Updated 11 days ago